資料科學入門實戰：Python
104 職涯社群 x 郭耀仁
Links we need
About
Current and previous work
- Kyosei.ai Co-Founder
- Coupang Senior Data Analyst
- SAS Analytical Consultant
- CTBC Management Associate
- McKinsey Research Intern
In the booming age of data science
The core of data science is talent.
Lecturing everywhere
- 台大資工系統訓練班（2016 - 現在）
- 文化大學推廣部（2018）
- 2017 資料科學年會講者
- 國立台北商業大學（2017 秋）
- 玉山商業銀行（2017 夏）
Could that data BE any tidier?
Data Scientist: The Sexiest Job of the 21st Century.
The world’s most valuable resource is no longer oil, but data.
rumor has it
“Data Scientist” is a Data Analyst who lives in California.
and more…
Data Scientist (n.): Person who is better at statistics than any software engineer and better at software engineering than any statistician.
Scopes of data science are
- 資料技術
- 視覺化
- 機器學習
- 高效能運算
A venn diagram of data science
Hacking skills here
Programming Languages
- 資料科學家：Python, R, Julia
- 資料工程：Java, Scala
- Matlab, SAS
Python
- 免費
- 社群
- 跨平台
- 彈性大
Data Science Libraries
- NumPy
- pandas
- matplotlib
- Scikit-Learn
- TensorFlow, Keras
Development Environment
- 復古派: Python + Editor
- 資料科學派: Jupyter Notebook
- 比較潮的資料科學派: Google Colaboratory
Quiz Time!
Quiz 1
從資料科學的 Venn Diagram 中我們知道這個學科的組成有三項，請問今天活動的主題比較偏向哪個？
- Substantive Expertise
- Math and Statistics
- Hacking Skills
- Machine Learning
Quiz 2
Python 的開發環境有多種選擇，請問今天活動的主題我們會選用哪個？
- Python + Visual Studio Code
- Python + Spyder
- Jupyter Notebook
- Google Colabortory
Quiz 3
下列哪一個 Python 的資料科學套件是用來處理表格資料？
- pandas
- NumPy
- Scikit-Learn
- matplotlib
Getting Started
After workshop
Any motivations?
希望給了各位學員一些學習動機！
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